The effect of infrastructure on invention : Innovative capacity and the dynamics of public construction investment

The association between public infrastructural investment and invention is explored in this study, analyzing expenditure and patenting trends and cycles over much of the 20th century. First, innovative capacity, an endogenous indicator of US innovation potential based on invention patent output, is conceptualized and discussed. A major shift in invention modes is shown to have occured over seven decades (1920–1989) as corporate, rather than individual, invention became the most important national source of innovative capacity. The support of public infrastructure for invention is then analyzed, considering its most important characteristics and supportive functions, and its expenditure patterns over seven decades. The analysis of the infrastructural investment and the innovative capacity age cycle dynamics reveals a remarkable association between educational infrastructure construction and both aggregate and corporate innovative capacity. Time-series statistical analyses provide further insights on the effects of infrastructural investment on invention, showing that corporate patenting tends to benefit more from public infrastructural construction and that educational infrastructure expenditures provide a stronger association with both aggregate and corporate inventive performance.     

Foreign capital inflows and economic growth of Pakistan

This study investigates the relationship of foreign capital inflows, namely foreign direct investment, workers’ remittances, and external debt with economic growth of Pakistan by employing time series data from 1976 to 2015. Cointegration results indicate that foreign capital inflows and economic growth have a significant relationship with economic growth in the long run. Ordinary least square results indicate foreign direct investment has a significant and negative effect on economic growth, whereas a significant positive effect of remittances and external debts on economic growth is found. Rolling windows analysis highlights the yearly effect of three different models. Two different sensitivity analyses confirmed that initial results are robust. The final section concludes the study and provides some policy implications.     

Corporate social responsibility and corruption risk: A global perspective

This paper extends our knowledge on corporate corruption risk by examining whether and to what extent corporate social responsibility (CSR) affects firm-level corruption risk. Using a cross-country sample of major multinational firms, we find that firm-level CSR mitigates corruption risk. On closer examination, we find that the relationship between CSR and corruption risk is mediated by country-level variables such as institutional quality, protection of minority shareholders’ rights, stock market development and freedom of the press. Further, we find that in emerging countries, CSR mitigates corruption risk only when the country-level institutional quality is high and citizens enjoy press freedom. Our findings suggest that both formal institutions and the quality of civil society influence the effect of CSR on corruption risk. Our results remain robust to controls for endogeneity and potential sample selection bias.     

Capital structure of multinational and domestic corporations – a cross‐country comparison

This study investigates whether the determinants of capital structure between multinational corporations (MCs) and domestic corporations (DCs) vary across Australia, U.S., Japan, U.K. and Malaysia. Results show (i) the debt holding capacity and majority of the explanatory factors vary between DCs and MCs and also across countries; (ii) Australia, Japan, U.K. and Malaysian MCs hold significantly less long‐term debt relative to U.S. firms; (iii) DCs and MCs that operate under an imputation tax system hold significantly less short‐ and long‐term debt; and (iv) DCs and MCs operating under common law have significantly less short‐term debt and significantly higher long‐term debt.     

International tourism and consumer prices in Pakistan: a wavelet-based analysis

This study aims to investigate the relationship between the tourism activities and price level in Pakistan by using monthly data set from 1972 to 2016. In this study, aggregated as well as disaggregated price level have been considered. Co-integration results suggest significant long-run relationship between tourism and all price level of goods and services except fuel and lightning. Results of the wavelet transformation show a strong variation in short-run. The results of the wavelet transformation coherence also show an in-phase as well as out-phase both associations between the prices and tourism receipts in the mid-term and long-term periods.     

Tourism growth and income inequality: does Kuznets Curve hypothesis exist in top tourist arrival countries

This study examines the relationship between tourism and the income inequality in top 43 tourist arrival countries by using the data over the period of 1995–2015. We have applied advanced econometric techniques which include cross-sectional augmented IPS (CIPS) unit root test, bootstrap co-integration, Pedroni co-integration, fully modified ordinary least squares, and heterogeneous panel causality technique. The results confirm that all the variables are co-integrated in the long run. The result also shows that the tourism has a positive effect on income inequality in full and the region-wise sample. Furthermore, the Kuznets curve hypothesis is also tested and found its existence. This concludes that if the examined countries increase their tourism revenue this will help them to reduce income inequality. This study gives valuable policy implications for the government and the policy-makers.     

Regional and copula estimation effects on EU and US energy equity portfolios

ABSTRACT

The aim of this paper is to investigate the regional interdependence structure of energy equities in the US and in the EU. Based on weekly stock prices of 28 big energy firms in the two regions from 2008 to 2019, we compare the efficiency of using bivariate or multivariate copulas to describe the dependence structure of energy equities. Furthermore, we investigate the impact of the choice between these two methods on the performance of energy equity portfolios. Our empirical results show that multivariate copulas, such as C-Vine, allow to better describe the dependence structure of energy equities. We also find that there is a stronger and more complex dependence structure among EU energy equities than among US energy equities. Our scenario analysis also shows that the dependence structure is stronger during the GFC while being weaker during the ESDC. More importantly, the correlation matrix obtained from the multivariate copula method allows to obtain optimal mean-CVaR portfolios with a higher performance than that from the bivariate copula method. More importantly, optimal portfolios constituted with multivariate copulas allow to reduce the portfolio’s sensitivity to oil prices.     

Idea generation leveraged from value co-creation process enhances new service development performance

This study examines the relationship between value co-creation process, idea generation and new service development performance from the perspective of telecommunication companies. Two dimensions of idea generation tested in this framework are internal and external idea generation, and the probable relationship between these two dimensions is further investigated. The data were collected from 78 marketing managers and were statistically analyzed. The findings show that value co-creation crucially influences both external idea generation and internal idea generation, however, the new service development performance can be enhanced through internal idea generation. Nonetheless, the results show that the external idea generation is vital to influence internal idea generation. This study extends theoretical understanding of how to leverage the value co-creation process for idea generation happenings, while the practical contribution of the research is to realize that new service development performance demands internal idea generation, which is supported with external resources of idea generation.     

Social and Environmental Sustainability,Host Country Characteristics,and the Mediating Effect of Improved Working Practices: Evidence from Multinational Corporations in Malaysia

This study argues that improved working practices acquired from intra-firm technology transfers are a crucial source of organizational sustainability. This study used 252 subsidiaries of foreign-based multinational corporations located in Peninsular Malaysia as a quantitative data source. The findings revealed that market environment, cultural factors, and absorptive capacity significantly improved working practices, which in turn significantly and positively affected the social and environmental sustainability of firms. We recommend that the government of Malaysia formulate and adopt more market-friendly policies while simultaneously providing both insight on the various cultural norms of foreign nations and higher education and training for its citizens to maximize knowledge transfer following foreign investment, which is beneficial for both the host country and the organizations involved.     

Covid-19 and heuristic biases: evidence from India

Stock markets worldwide have witnessed high volatility during the year 2020 owing to the eruption of Covid-19. Due to the world’s unprecedented economic challenges, this study could potentially guide financial advisors and individual investors in dealing with pandemics. An association between investors’ perception toward the intensity of Covid-19 and heuristic biases is analyzed using the responses of 290 stock investors of National Capital Region (NCR), India. The data are validated through Cronbach’s alpha, and the model fit is analyzed using EFA. Confirmatory factor analysis (CFA) is employed to investigate the relationship between Covid-19 and heuristic biases. Covid-19 does not have any influence on the overconfidence of investors. A significant positive relationship is found between Covid-19 and the remaining three heuristics, i.e., availability, anchoring, and representativeness. The present study analyzes the association between Covid-19 and specific investors’ bias only and should not be interpreted for causality. The study has the potential to guide investors in understanding the errors they are making while investing during the pandemic and the ways to deal with them. The study could provide insights to the financial advisors in understanding their customers. The implications of the study may include inputs of the errors committed by them during the pandemic. Despite the fact that an enormous amount of literature exists in the field of investors’ sentiment, a scarcity of literature is available that measures the relationship between heuristic biases and the perceived impact of the pandemic. The current study attempts to fill this gap in the literature.